Curriculum Vitae

See also Black-Box Optimization Lab @ University of Tsukuba for activities of our Lab.

Contact

Affiliation

Faculty of Engineering, Information and Systems, University of Tsukuba

Address

Building F, room 934 (on the 9th floor)

1-1-1 Tennodai, Tsukuba 305-8573, JAPAN

E-mail

akimoto [at] cs [dot] tsukuba [dot] ac [dot] jp

Tel.

+81-29-853-5533

Research Interests

My main research field is black-box optimization, especially in continuous domain. I am interested in stochastic search algorithms such as covariance matrix adaptation evolution strategies (CMA-ES), a probabilistic model based derivative free optimizer. I work on theoretical analysis of stochastic search algorithms and also on design principle for efficient algorithms in practice, and on real-world applications.

Biography

Youhei Akimoto received the B.S. degree in computer science in 2007, and the M.S. and Ph.D. degrees in computational intelligence and systems science from the Tokyo Institute of Technology, Japan, in 2008 and 2011, respectively. From 2010 to 2011, he was a Research Fellow at JSPS, Japan, and from 2011 to 2013, he was a Postdoctoral Research Fellow at INRIA, France. From 2013 to 2018, he was an Assistant Professor at Shinshu University, Japan. Since 2018, he has been an Associate Professor with the University of Tsukuba, Japan and a Visiting Researcher with the Center for Advanced Intelligence Projects, RIKEN. His research interests include the design principles, theoretical analyses, and applications of stochastic search heuristics and reinforcement learning. He won the Best Paper Award at GECCO 2018 and FOGA 2019. He is an associate editor of ACM Transactions on Evolutionary Learning and Optimization and a member of the editorial board of Evolutionary Computation. He has given many tutorials on evolution strategies, particularly CMA-ES, in GECCO.

Awards

Professional Activities